A Simulator for Large-Scale Parallel Computer Architectures

Author:

Janssen Curtis L.1,Adalsteinsson Helgi1,Cranford Scott1,Kenny Joseph P.1,Pinar Ali1,Evensky David A.1,Mayo Jackson1

Affiliation:

1. Sandia National Laboratories, USA

Abstract

Efficient design of hardware and software for large-scale parallel execution requires detailed understanding of the interactions between the application, computer, and network. The authors have developed a macro-scale simulator (SST/macro) that permits the coarse-grained study of distributed-memory applications. In the presented work, applications using the Message Passing Interface (MPI) are simulated; however, the simulator is designed to allow inclusion of other programming models. The simulator is driven from either a trace file or a skeleton application. Trace files can be either a standard format (Open Trace Format) or a more detailed custom format (DUMPI). The simulator architecture is modular, allowing it to easily be extended with additional network models, trace file formats, and more detailed processor models. This paper describes the design of the simulator, provides performance results, and presents studies showing how application performance is affected by machine characteristics.

Publisher

IGI Global

Subject

Computer Networks and Communications,Hardware and Architecture

Reference25 articles.

1. M5Sim. (n.d.). The M5 Simulator System: A modular platform for computer system architecture research. Retrieved September 9, 2009 from http://www.m5sim.org

2. Compiler-Optimized Simulation of Large-Scale Applications on High Performance Architectures

3. AMG benchmark summary. (n.d.). Retrieved September 11, 2009 from https://asc.llnl.gov/sequoia/benchmarks/AMG_summary_v1.0.pdf

4. Benveniste, C., & Heidelberger, P. (1995). Parallel simulation of the IBM SP2 interconnection network. Paper presented at the 1995 Winter Simulation Conference, New York, NY.

5. The M5 Simulator: Modeling Networked Systems

Cited by 63 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MUSE: A Runtime Incrementally Reconfigurable Network Adapting to HPC Real-Time Traffic;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. Graph Analytics on Jellyfish topology;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

3. Benefits of Optimistic Parallel Discrete Event Simulation for Network-on-Chip Simulation;2023 IEEE/ACM 27th International Symposium on Distributed Simulation and Real Time Applications (DS-RT);2023-10-04

4. VVQ: Virtualizing Virtual Channel for Cost-Efficient Protocol Deadlock Avoidance;2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2023-02

5. HammingMesh: A Network Topology for Large-Scale Deep Learning;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3